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arcade-mcp

ArcadeAI/arcade-mcp

MCP Server Framework and Tool Development Library for Custom Agent Capabilities

GraphCanon updated 4w · GitHub synced 4w

981 stars101 forksLast push 4w Python MIT

Decision brief

Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol.

Good fit when

  • When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.

Avoid when

  • If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity.
  • When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.
Requirements:
Min 4 GB RAM

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of 4w
Provenance
Not a fork · Organization account
As of 4w
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install arcade-mcp
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This repository provides a framework and tools for developing custom capabilities in AI agents using the MCP protocol.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 27, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 27, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 27, 2026)

Requires Python 3.10+ and [`uv`](https://docs.astral.sh/uv/).
Source link

Tags

README

Install the CLI

uv tool install arcade-mcp

Install from Source

Requires Python 3.10+ and uv.

git clone https://github.com/ArcadeAI/arcade-mcp.git
cd arcade-mcp
make install

See CONTRIBUTING.md for development workflow and SECURITY.md for vulnerability reporting.


License

MIT. See LICENSE.

For agents

This page has a .md twin and JSON over the API.

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